pku_get_dataset

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the behavioral burden. It meaningfully discloses that the result is a landing page for requesting access/download rather than a direct file or full dataset payload. It does not discuss error cases or access restrictions, but for a simple read-only resolver this is adequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no filler. It front-loads the action ('Resolve a DOI'), states the target resource, and specifies the output type, making every phrase informative.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter resolver with no output schema, the description sufficiently states the input (DOI) and the output (dataset record and landing page URL). It lacks explicit return-field details and error behavior, but the simple scope and sibling context make this a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already provides 100% coverage of the single identifier parameter, including an example DOI and doi.org URL format. The description adds no new parameter-level meaning beyond referring to DOI resolution, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific action ('Resolve a DOI') and resource ('dataset record'), and clearly states the deliverable: a human-facing landing page URL for access or download. It distinguishes itself from search siblings by emphasizing exact DOI resolution, though it does not explicitly name alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The DOI input implies this tool is for when a DOI is already known, but the description gives no explicit when-to-use or when-not-to-use guidance. It does not mention alternatives like pku_search_datasets for finding datasets without a DOI.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.